GODEEEP future energy drought data

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Researchers in energy system modeling and renewable integration can use this dataset to study resource adequacy and drought frequency under climate change.

🏢実務担当者:Grid operators and utility planners can leverage the energy drought metrics to assess system resilience and inform capacity planning.

🏛政策担当者:Policymakers can reference the drought definitions and scenario analysis to design renewable support policies and climate adaptation strategies.

NOTE: v1.1.0 of this dataset provides a new version of the ba-aggregated data in a new, more efficient format, the data is identical to v1.0.0. Overview This dataset has 2 components, (1) physically consistent wind, solar and load data for 15 Balancing Authorities (BAs) in the CONUS and (2) pre-computed BA-level energy droughts for a variety of time scales from 1 hour to 5 days. The generation and load data is aggregated from plant level data based on EIA-860 2020 infrastructure. For more information please refer to: Bracken, C. ,  Voisin, N. ,  Mongird, K. ,  Burleyson, C. D. , &  Oikonomou, K.  (2025). Intensifying renewable energy droughts in the Western U.S. amid evolving infrastructure and climate.  Earth's Future , 13, e2024EF005313.  https://doi.org/10.1029/2024EF005313 File format All data files are stored as Apache Parquet ( .parquet , zstd compressed). Read in R with  arrow::read_parquet(path) ; in Python with  pandas.read_parquet(path)  or  pyarrow.parquet.read_table(path) . File naming ba-aggregted.zip extracts to ba-aggregated/ :  ba_{type}_{infra_year}_{scenario}_{period}.parquet , where - type is  hist  (future infrastructure × historical climate 1980-2019),  future  (future infrastructure × future climate 2020-2059), or  expected_future  (each 5-year future climate window paired with its matching infrastructure year) - infra_year ∈ {2020, 2025, 2030, 2035, 2040, 2045, 2050} (omitted for  expected_future ) - scenario is  bau  (business as usual) or  nz  (net zero) - period is  hourly  or  daily future-energy-droughts.zip extracts to droughts/ : Please see v1.0.0 to download this file or click here to download it. future-wind-solar.zip extracts to future-wind-solar/ : Please see v1.0.0 to download this file or click here to download it (warning 22 GB!). BA Aggregated wind and solar generation data  File: future-energy-droughts.zip extracts to droughts/ Daily files have the following columns: ba  - Abbreviated name for the BA year  - The current year as an integer period  - A unique integer for the current time step within the year datetime_utc  - Time stamp for the start of the period, in UTC solar_gen_mwh  - Aggregated solar generation in units of MWh solar_capacity_mwh  - Aggregated solar plant capacity expressed as MWh wind_gen_mwh  - Aggregated wind generation in units of MWh wind_capacity_mwh  - Aggregated wind plant capacity expressed as MWh load_mwh  - BA load in MWh load_max_mwh  - The maximum BA load over the entire historical period n_wind_plants  - Number of wind plants aggregated for this BA n_solar_plants  - Number of solar plants aggregated for this BA wind_cf  - Wind capacity factor, wind_gen_mwh/wind_capacity_mwh solar_cf  - Solar capacity factor, solar_gen_mwh/solar_capacity_mwh load_cf  - Load “capacity factor”, expressed as a fraction of the maximum BA load, load_mwh/load_max_mwh Hourly files contain the same physical quantities at hourly resolution and additionally include  solar_gen_mw / wind_gen_mw  (instantaneous power),  solar_capacity / wind_capacity  (capacity in MW), and the  scenario  and  infra_year  columns labeling the run. Energy drought data Please see v1.0.0 for a description of this data or click here to download it. Plant level wind and solar generation data Please see v1.0.0 for a description of this data or click here to download it (warning 22 GB!).   This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.

• Zenodo https://zenodo.org/records/20618987first seen 2026-06-11 04:24:06 · last seen 2026-06-16 04:13:55